{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction\n",
    "\n",
    "An example of implementing the Node2Vec representation learning algorithm using components from the stellargraph and gensim libraries.\n",
    "\n",
    "<a name=\"refs\"></a>\n",
    "**References**\n",
    "\n",
    "[1] Node2Vec: Scalable Feature Learning for Networks. A. Grover, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016. ([link](https://snap.stanford.edu/node2vec/))\n",
    "\n",
    "[2] Distributed representations of words and phrases and their compositionality. T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean.  In Advances in Neural Information Processing Systems (NIPS), pp. 3111-3119, 2013. ([link](https://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf))\n",
    "\n",
    "[3] Gensim: Topic modelling for humans. ([link](https://radimrehurek.com/gensim/))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from sklearn.manifold import TSNE\n",
    "from sklearn.decomposition import PCA\n",
    "import os\n",
    "import networkx as nx\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from stellargraph import datasets\n",
    "from IPython.display import display, HTML\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "The Cora dataset consists of 2708 scientific publications classified into one of seven classes. The citation network consists of 5429 links. Each publication in the dataset is described by a 0/1-valued word vector indicating the absence/presence of the corresponding word from the dictionary. The dictionary consists of 1433 unique words."
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset = datasets.Cora()\n",
    "display(HTML(dataset.description))\n",
    "dataset.download()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Largest subgraph statistics: 2485 nodes, 5069 edges\n"
     ]
    }
   ],
   "source": [
    "# load directed graph from ordering (cited_paper, citing_paper)\n",
    "g_nx = nx.read_edgelist(\n",
    "    path=os.path.join(dataset.data_directory, \"cora.cites\"), create_using=nx.DiGraph()\n",
    ").reverse()\n",
    "\n",
    "# convert to undirected graph for processing\n",
    "g_nx = g_nx.to_undirected()\n",
    "\n",
    "# load the node attribute data\n",
    "node_attr = pd.read_csv(\n",
    "    os.path.join(dataset.data_directory, \"cora.content\"), sep=\"\\t\", header=None\n",
    ")\n",
    "values = {str(row.tolist()[0]): row.tolist()[-1] for _, row in node_attr.iterrows()}\n",
    "nx.set_node_attributes(g_nx, values, \"subject\")\n",
    "\n",
    "# Select the largest connected component. For clarity we ignore isolated\n",
    "# nodes and subgraphs; having these in the data does not prevent the\n",
    "# algorithm from running and producing valid results.\n",
    "g_nx_ccs = (g_nx.subgraph(c).copy() for c in nx.connected_components(g_nx))\n",
    "g_nx = max(g_nx_ccs, key=len)\n",
    "print(\n",
    "    \"Largest subgraph statistics: {} nodes, {} edges\".format(\n",
    "        g_nx.number_of_nodes(), g_nx.number_of_edges()\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Node2Vec algorithm\n",
    "\n",
    "The Node2Vec algorithm introduced in [[1]](#refs) is a 2-step representation learning algorithm. The two steps are:\n",
    "\n",
    "1. Use 2nd order random walks to generate sentences from a graph. A sentence is a list of node ids. The set of all sentences makes a corpus.\n",
    "\n",
    "2. The corpus is then used to learn an embedding vector for each node in the graph. Each node id is considered a unique word/token in a dictionary that has size equal to the number of nodes in the graph. The Word2Vec algorithm [[2]](#refs) is used for calculating the embedding vectors.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Corpus generation using random walks\n",
    "\n",
    "The stellargraph library provides an implementation for 2nd order random walks as required by Node2Vec. The random walks have fixed maximum length and are controlled by two parameters `p` and `q`. See [[1]](#refs) for a detailed description of these parameters. \n",
    "\n",
    "We are going to start 10 random walks from each node in the graph with a length up to 100. We set parameter `p` to 0.5 (which encourages backward steps) and `q` to 2.0 (which discourages distant steps); the net result is that walks should remain in the local vicinity of the starting nodes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of random walks: 24850\n"
     ]
    }
   ],
   "source": [
    "from stellargraph.data import BiasedRandomWalk\n",
    "from stellargraph import StellarGraph\n",
    "\n",
    "rw = BiasedRandomWalk(StellarGraph(g_nx))\n",
    "\n",
    "walks = rw.run(\n",
    "    nodes=list(g_nx.nodes()),  # root nodes\n",
    "    length=100,  # maximum length of a random walk\n",
    "    n=10,  # number of random walks per root node\n",
    "    p=0.5,  # Defines (unormalised) probability, 1/p, of returning to source node\n",
    "    q=2.0,  # Defines (unormalised) probability, 1/q, for moving away from source node\n",
    ")\n",
    "print(\"Number of random walks: {}\".format(len(walks)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Representation Learning using Word2Vec\n",
    "\n",
    "We use the Word2Vec [[2]](#refs) implementation in the free Python library gensim [[3]](#refs), to learn representations for each node in the graph.\n",
    "\n",
    "We set the dimensionality of the learned embedding vectors to 128 as in [[1]](#refs)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gensim.models import Word2Vec\n",
    "\n",
    "model = Word2Vec(walks, size=128, window=5, min_count=0, sg=1, workers=2, iter=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(128,)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The embedding vectors can be retrieved from model.wv using the node ID.\n",
    "model.wv[\"19231\"].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualise Node Embeddings\n",
    "\n",
    "We retrieve the Word2Vec node embeddings that are 128-dimensional vectors and then we project them down to 2 dimensions using the [t-SNE](http://scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html) algorithm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Retrieve node embeddings and corresponding subjects\n",
    "node_ids = model.wv.index2word  # list of node IDs\n",
    "node_embeddings = (\n",
    "    model.wv.vectors\n",
    ")  # numpy.ndarray of size number of nodes times embeddings dimensionality\n",
    "node_targets = [g_nx.nodes[node_id][\"subject\"] for node_id in node_ids]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Transform the embeddings to 2d space for visualisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "transform = TSNE  # PCA\n",
    "\n",
    "trans = transform(n_components=2)\n",
    "node_embeddings_2d = trans.fit_transform(node_embeddings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# draw the embedding points, coloring them by the target label (paper subject)\n",
    "alpha = 0.7\n",
    "label_map = {l: i for i, l in enumerate(np.unique(node_targets))}\n",
    "node_colours = [label_map[target] for target in node_targets]\n",
    "\n",
    "plt.figure(figsize=(7, 7))\n",
    "plt.axes().set(aspect=\"equal\")\n",
    "plt.scatter(\n",
    "    node_embeddings_2d[:, 0],\n",
    "    node_embeddings_2d[:, 1],\n",
    "    c=node_colours,\n",
    "    cmap=\"jet\",\n",
    "    alpha=alpha,\n",
    ")\n",
    "plt.title(\"{} visualization of node embeddings\".format(transform.__name__))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "### Downstream task\n",
    "\n",
    "The node embeddings calculated using Word2Vec can be used as feature vectors in a downstream task such as node attribute inference (e.g., inferring the subject of a paper in Cora), community detection (clustering of nodes based on the similarity of their embedding vectors), and link prediction (e.g., prediction of citation links between papers).\n",
    "\n",
    "For a more detailed example of using Node2Vec for link prediction see [this example](https://github.com/stellargraph/stellargraph/tree/master/demos/link-prediction/random-walks/cora-lp-demo.ipynb)."
   ]
  }
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